Why Data Quality Should Start At The Beginning, Not The End

Data quality issues emerge from multiple failure points from development practices to production life cycle, each compounding ...
TDAN.com

Using Artificial Intelligence and Machine learning to Improve Data Quality in Cloud Native Data Pipelines

Introduction: Why Data Quality Is Harder Than Ever Data quality has always been important, but in today’s world of ...
TechCrunch

The attributes that define the increasingly critical Data-as-a-Service industry

It’s now common in tech to describe data as “the new oil or electricity” — a fuel that will power innovation and company growth for the foreseeable future. However, data is far from a novel industry.